3.4-3.5

App Size Distribution

  • Heat maps visualize app size distribution for different categories.

  • Lifestyle apps: 288 apps between sizes 0-12, only 4 between 80-100.

  • Family and game apps: common with various sizes; numerous larger game apps.

App Price Trends

  • Majority of apps have lower prices.

  • Rarely, prices exceed $40-$50, such as one found in family apps.

Screen Time Analysis

  • Variation exists across apps concerning average screen time.

  • Gaming and education apps generally have higher screen time.

  • Entertainment apps (e.g., video apps) also see high usage.

Active Users & Installations

  • Distribution of active users varies, with some categories having higher numbers.

  • Installations reveal a mix of low and high numbers, consistently varying across types.

Advertisement Revenue Insights

  • Most apps generate low advertisement revenue, few achieve high revenue numbers.

  • Credo distribution (80/20 rule): 20% of apps generate 80% of revenue.

  • Key categories for revenue (games, family, social, news, lifestyle) exceed 70% of total revenue.

Revenue Decline Investigation

  • Week-over-week revenue has been decreasing since late January.

  • Investigation needed to understand the revenue drop.

Categories and Revenue Relationship

  • High screen time categories (games, family, social, news) correlate with high revenue.

  • Flat or slowly changing revenues or screen times observed in various categories.

  • Increased ad loads noticeable in the first weeks of the year, potentially leading to user decrease.

User Experience & Revenue Impact

  • User attrition occurs with increased ad display, impacting long-term revenue negatively.

  • Need to improve user experience by balancing ad exposure to maintain engagement.

Data Analysis with Python

  • Python code demonstrates data analysis techniques to extract insights.

  • Utilized libraries to analyze individual and multiple variables.

Building Interactive Dashboards

  • Dashboards are online reports enabling real-time data interactivity, such as Tableau.

  • Features include: displaying current revenue, active users, installs, and ad trends.

  • Users can select metrics of interest for targeted analysis.

Utilizing Dashboards for Decision Making

  • Dashboards provide immediate insight into revenue trends and potential issues.

  • They help identify correlations between ad frequency and user engagement.

  • Visualization enables easier understanding and faster decision-making regarding app performance.